Jev vs Gemini 3.8 Flash: labeling 1,000 app reviews
On the same data, batches and concurrency, Jev labeled 1,000 app reviews in 4.6s for $0.023 versus Gemini 3.8 Flash's 18.8s and $0.158, with 84% topic agreement and 93% bug-call agreement.
Someone raced Jev against Gemini 3.8 Flash, labelling 1,000 real app reviews. Same data, same batches, same concurrency Jev: 4.6s, $0.023 Gemini 3.8 Flash: 18.8s, $0.158 4.1× faster. 7× cheaper. Quality gap? Basically none 84% topic agreement, 93% bug-call agreement, sentiment correlation 0.80 vs 0.82 Jev used 8× more input tokens (every question repeats its rubric) but still crushed on cost, because output tokens are free Fully open, zero dependencies, recorded runs you can replay for free no API key needed